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REGGIANNINI, MARCO

REGGIANNINI, MARCO  

Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI  

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Risultati 1 - 20 di 104 (tempo di esecuzione: 0.034 secondi).
Titolo Data di pubblicazione Autore(i) File
A framework for imbalanced SAR ship classification: curriculum learning, weighted loss functions, and a novel evaluation metric 1-gen-2025 Awais, Ch Muhammad; Reggiannini, M.; Moroni, D.
Advancing automated detection of Nephrops norvegicus burrows in underwater television surveys through machine learning 1-gen-2025 Papini, O.; Cecapolli, E.; Domenichetti, F.; Martinelli, M.; Pieri, G.; Reggiannini, M.; Zacchetti, L.
Computer vision to support Nephrops norvegicus imagery annotation 1-gen-2025 Aguzzi, J.; Aristegui, M.; Burgos, C.; Chatzievangelou, D.; Doyle, J.; González Herraiz, I.; Fifas, S.; Firmin, C.; Jónasson, J. P.; Verisimo Amor, P.; Jonsson, P.; Martinelli, M.; Medvešek, D.; Pereira, B.; Reggiannini, M.; Schubert, P.; Vacherot, J-. P.; Valeiras, J.; Vila, Y.; Weetman, A.; Wieland, K.
Guidelines for the annotation of Nephrops norvegicus UWTV videos 1-gen-2025 Papini, O.; Cecapolli, E.; Domenichetti, F.; Martinelli, M.; Pieri, G.; Reggiannini, M.; Zacchetti, L.
Machine learning approaches for automated detection of nephrops norvegicus burrows in underwater surveys 1-gen-2025 Papini, O.; Cecapolli, E.; Domenichetti, F.; Martinelli, M.; Pieri, G.; Reggiannini, M.; Zacchetti, L.
Machine learning for the evaluation of the Nephrops norvegicus Population 1-gen-2025 Reggiannini, M.; Martinelli, M.; Papini, O.; Zacchetti, L.; Domenichetti, F.; Pieri, G.
A mesoscale events classifier for sea surface temperature data 1-gen-2024 Reggiannini, M.; Papini, O.; Pieri, G.
A mesoscale events classifier for sea surface temperature data 1-gen-2024 Reggiannini, M.; Papini, O.; Pieri, G.
Advancing sustainability: research initiatives at the Signals and Images Lab 1-gen-2024 Bruno, A.; Caudai, C.; Conti, F.; Leone, G. R.; Magrini, M.; Martinelli, M.; Moroni, D.; Muhammad A., Ch; Papini, O.; Pascali, M. A.; Pieri, G.; Reggiannini, M.; Righi, M.; Salerno, E.; Scozzari, A.; Tampucci, M.
Deep learning for SAR ship classification: focus on unbalanced datasets and inter-dataset generalization 1-gen-2024 Awais, C. M.; Reggiannini, M.
Evaluating the Impact of fine-tuning on deep learning models for SAR ship classification 1-gen-2024 Awais, Ch Muhammad; Reggiannini, M.
Future fishery and deep learning 1-gen-2024 Awais, Ch Muhammad; Moroni, D.; Reggiannini, M.
Imbalanced datasets through the lens of transfer-learning 1-gen-2024 Awais Ch, Muhammad.; Reggiannini, M.
Remote sensing for maritime traffic understanding 1-gen-2024 Reggiannini, M; Salerno, E; Bacciu, C; D'Errico, A; Lo Duca, A; Marchetti, A; Martinelli, M; Mercurio, C; Mistretta, A; Righi, M; Tampucci, M; Di Paola, C
Testing a SAR-based ship classifier with different loss functions 1-gen-2024 Awais, Ch. M.; Reggiannini, M.; Moroni, D.
Analysis of sea surface temperature maps via topological machine learning 1-gen-2023 Conti, F; Papini, O; Moroni, D; Pieri, G; Reggiannini, M; Pascali, M A
Automated image processing for remote sensing data classification 1-gen-2023 Reggiannini, M; Papini, O; Pieri, G
Evaluating the velocity of ships from low resolution SAR images 1-gen-2023 Reggiannini, M; Salerno, E
Evaluation of a marine mesoscale events classifier 1-gen-2023 Reggiannini, M; Papini, O; Pieri, G
MEC: a Mesoscale Events Classifier for oceanographic imagery 1-gen-2023 Pieri, G; Janeiro, J; Martins, F; Papini, O; Reggiannini, M